Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 56,151 to 56,160 of 226,846 articles

Development of an individualized prediction model for dynamic adaptations in performance and immune function associated with dietary patterns in endurance athletes using machine learning.

Journal of the International Society of Sports Nutrition
BACKGROUND: Psychological resilience significantly influences immune function and health outcomes in high-stress populations, yet mechanisms underlying nutrition-psychology-immunity interactions remain poorly understood. This study developed an indiv... read more 

CYP2C19 genotype-guided dosing of proton pump inhibitors: progress in clinical trials and real-world use.

Expert review of clinical pharmacology
INTRODUCTION: Proton pump inhibitors (PPIs) are widely used to treat acid-related disorders; however, treatment response varies significantly due to Cytochrome P450 2C19 (CYP2C19) genetic polymorphisms that alter individual drug metabolism. Such vari... read more 

Emerging ethical duties in AI-mediated research: A case of data sovereignty in applying cross-national regulation.

Accountability in research
BACKGROUND: Artificial intelligence (AI) is reshaping research practices, yet its ethical implications remain under‑examined, particularly in cross‑national contexts. OBJECTIVE: To explore how AI integration into environmental science complicates inf... read more 

Deep learning for high-resolution magnetic resonance vessel wall imaging: image reconstruction, stenosis diagnosis and plaque calculation.

European radiology
OBJECTIVES: This study developed an automated AI-based method for accurate image reconstruction, stenosis detection and plaque calculation in high-resolution magnetic resonance vessel wall imaging (HR-MRVWI) and compared its performance with radiolog... read more 

Performance of an adult-trained AI tool for intracranial hemorrhage detection on head CT in children aged 6-17 years.

Pediatric radiology
BACKGROUND: Most commercially available artificial intelligence (AI) tools in radiology are trained and approved for adult use, creating an access gap for pediatric patients. Intracranial hemorrhage (ICH) detection is a common adult AI application wi... read more 

Multiclass classification of infections after cervical spine surgery in the elderly: a machine learning approach based on preoperative and perioperative data.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
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Experimental and ALO-optimized machine learning interpretable models for pharmaceutical adsorption onto raw bentonite.

Environmental geochemistry and health
Pharmaceutical contamination of aquatic systems poses an increasing environmental concern due to the persistence, bioactivity, and incomplete removal of these compounds by conventional wastewater treatment processes. This study investigates the adsor... read more 

An Optimized Strategy for Brain Tumor Classification Using SO(3) Equivariant Graph Neural Networks with Snow Geese Algorithm in MRI Imaging.

Journal of molecular neuroscience : MN
Brain tumors (BT) are actually an uncontrolled growth of cancer cells inside the body that can be classified into several classes according to their characteristics and accessible therapies. Brain tumors require a thorough examination by medical prof... read more